A functional classification for predicting the dynamics of landscapes
Article first published online: 24 FEB 2009
1996 IAVS - the International Association of Vegetation Science
Journal of Vegetation Science
Volume 7, Issue 3, pages 329–336, June 1996
How to Cite
Noble, I. R. and Gitay, H. (1996), A functional classification for predicting the dynamics of landscapes. Journal of Vegetation Science, 7: 329–336. doi: 10.2307/3236276
- Issue published online: 24 FEB 2009
- Article first published online: 24 FEB 2009
- Received 3 February 1995; Revision received 6 September 1995; Accepted 27 December 1995.
- Functional group;
- Response group;
- Structural group;
- Vital attribute
Abstract. Functional classifications have been derived for various purposes using subjective, objective and deductive approaches. Most of the classifications were derived to describe a static state of a region or landscape rather than to predict the dynamics of the system. Here, we suggest a simple, but comprehensive functional classification based on life history parameters that can predict the dynamics of plant communities subject to recurrent disturbances. The predicted dynamics are described in terms of survival and local extinction of the functional groups. The groups derived from the classification are probably largely independent of functional groupings that may be derived for other aspects of community composition (e.g. structure, phenology) and community interactions (roughness, albedo etc.). We emphasize that functional classification is context-dependent and we should not expect to find a useful, universal classification into functional groups. Software has been developed to help classify the species into functional groups, to derive successional sequences and to predict community composition under different disturbance regimes both in point and landscape models.